Events

Speaker Series

Pioneering AI for Personalized Education: Designing Human-Centered Systems for Speech and Language Learning

Qingxiao Zheng, PhD.

Thursday, December 4, 2025
UB South Campus, Foster Hall 135
12:00-1:00 p.m. Lunch will be provided

Qingxiao Zheng, PhD, is a postdoctoral associate at the Institute for Artificial Intelligence and Data Science at the University at Buffalo. Her research sits at the intersection of human–computer interaction and the social dimensions of AI, focusing on designing and evaluating AI applications and services that enhance human training and public service delivery. She is interested in how diverse stakeholders collaborate with AI across low- and high-stakes domains, where systems must balance complexity, transparency, and trust to serve both expert and non-expert usersZheng has published in leading HCI venues such as ACM CHI and CSCW and has served widely across ACM conferences, including CHI, CSCW, DIS, IDC, and IMWUT, where she has been recognized for outstanding service.

Her work has been supported by the NSF, IES, IMLS, and industry partners such as Google.org and IBM–Illinois. She earned her PhD from the School of Information Sciences at the University of Illinois Urbana–Champaign.

Abstract: At the National AI Institute for Exceptional Education at the University at Buffalo, Zheng's research focuses on designing, developing and evaluating human-centered AI systems that advance special education by extending the reach and effectiveness of speech and language services for children with developmental differences. In this talk, she will discuss how AI can augment expert capacity in both home and school settings—supporting parents in applying evidence-based strategies during everyday interactions with their children, and assisting speech-language pathologists in creating individualized interventions while managing heavy documentation demands. These projects demonstrate how AI can be designed to scale expertise responsibly, preserve empathy and professional judgment, and promote more inclusive and sustainable models of learning experience for all children.

Participatory Design at the Intersection of Learning Sciences and Information Sciences

Jason yip, PhD.

Monday, December 8, 2025
UB South Campus, Foster Hall 135
12:00-1:00 p.m. Lunch will be provided

Jason Yip, PhD, is an associate professor at the Information School and adjunct associate professor in Human Centered Design & Engineering at the University of Washington. His research examines how technologies can support parents and children learning together through co-design, building new technologies and theories, and examining mainstream integrated home technologies (e.g., video games, online searching, generative AI, smart home technologies, etc.). He is the principal /co-investigator on numerous federal grants from the National Science Foundation, the Institute of Museum and Library Services, the National Institutes of Health and gifts from Amazon, Google, Mozilla and Duolingo, totaling $18M. Finally, Yip is the recipient of the Jacobs Foundation Early Career Research Fellowship 2020 – 2022 and the National Science Foundation CAREER in 2020.

Yip has earned 19 best paper awards and nominations in top conferences and publication such as ACM SIGCHI, ACM CSCW, ACM DIS, International Conference of the Learning Sciences, International Journal of Child-Computer Interaction, and iConference. He is the winner of two University of Washington teaching awards. He is a senior research fellow at the Joan Ganz Cooney Center at Sesame Workshop. He holds a B.A. (2001) in chemistry and M.S.Ed (2002) in science and math education from the University of Pennsylvania, and a Ph.D. (2014) in curriculum and instruction from the University of Maryland. His post-doctoral training occurred at the Joan Ganz Cooney Center at Sesame Workshop (2013 – 2014).

Abstract: In this talk, Yip will focus on participatory design (PD), a design philosophy and methodology focused on democratic collaborations between designers and people. His research focuses on utilizing PD as a way to understand family collaborative learning through building new technologies, investigating home technologies and studying co-design methods. Throughout this talk, Yip will provide examples of how the intersection of PD with theories from the learning sciences and information sciences support how he thinks about collaborative learning with technologies in youth and their families. Finally, Yip will provide a future outlook for how we might consider PD broader within learning and information sciences.

This session is co-sponsored by

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